NEW
NEW

OUR TEAM

Ms. Amna Ikram

Lecturer (CS)

Introduction

I am Amna Ikram, a Lecturer in the Department of Computer Science at NUTECH University. With over 4 years of experience in both academia and the research, my primary research interests lie in Artificial Intelligence (AI), Medical imaging, Machine Learning, and Deep learning. I am passionate about exploring how AI models can solve real clinical problems. My teaching philosophy centers around providing students with a strong theoretical foundation, while also equipping them with practical skills for the evolving tech landscape.

Experience

  • Lecturer, Department of Computer Science, NUTECH University (2023–Present)
  • Visiting Lecturer, SZABIST Islamabad (Feb 2023- May 2023)
  • Visiting Lecturer, Rawalpindi Women University (August 2021– May 2023)

Qualification

  • Academia:
    • Ph.D. in Artificial Intelligence, Air University Islamabad (2022-Pursuing)
    • Master of Computer Science, SZABIST Islamabad (2021)
    • MCS, ARID Agriculture University, Rawalpindi (2018)
    • BSc, Quaid-i-Azam University (2015)
  • Certifications:
    • Online training session of ProQuest Education on “5 Tips for getting published: Maximize your chances to get your paper accepted in Academic Journals!”
    • Online certified training in Software Engineering virtual program experience
    • Online certified training in Advanced Software Engineering virtual program experience.

Taught Courses at Nutech

I have taught a variety of undergraduate courses in the Computer Science Department. Below are the courses I have been involved in teaching:

  • Operating System Theory & Lab
  • Data Structures and Algorithms Lab
  • Database Systems Theory & Lab
  • Software Engineering
  • Computer Networks

Research

Publications:

      • Amna Ikram, Isma Masood, Tahira Sarfraz, and Tehmina Amjad, A Review on Models for Software Quality Enhancement from User’s Perspective .Volume 2, Issue 1, Article 12, Pages 127-154, December 2021.
      • Amna Ikram, Azhar Imran, Jianqiang Li. Abdulaziz Alzubaidi, Safa Fahim, Amanullah Yasin, and Hanaa Fathi. A Systematic Review on Fundus Image- Based Diabetic Retinopathy Detection and Grading: Current Status. Volume 12, Page 96273-96303, July 2024.
      • Amna Ikram, Azhar Imran, Review on Detection and Classification of Diabetic Retinopathy using Fundus Images, 17th International Conference on Open Source Systems and Technologies (ICOSST), 2023.

Research

 

  • ICAT Projects 2024 (NUGAMES, Emotion Detection)